Data Scientist - Bengaluru, Karnataka, India - Gray Matter
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1 day ago
Description
Experience: 5+ years
Role:
Permanent
Location:
Bangalore, INDIA
Key Responsibilities:
- Model Development: Design and implement ML models to tackle complex business challenges.
- Data Preprocessing: Clean, preprocess, and analyze large datasets for meaningful insights and model features.
- Model Training: Train and finetune ML models using various techniques including deep learning and ensemble methods.
- Evaluation and Optimization: Assess model performance, optimize for accuracy, efficiency, and scalability.
- Deployment: Deploy ML models in production, monitor performance for reliability.
- Collaboration: Work with data scientists, engineers, and stakeholders to integrate ML solutions.
- Research: Stay updated on ML/AI advancements, contribute to internal knowledge.
- Documentation: Maintain comprehensive documentation for all ML models and processes.
Must Have:
- Education: Bachelor's, Master's, or Ph.
- Professional Experience: Fullstack Data Scientist with a track record in ML model development and deployment in production. Experienced in architecting solutions with CI/CD processes.
- Proficiency: Proficiency in programming languages, Python is a must know. Proficient in Azure Databricks.
- Data Science Skills: Experience in data preprocessing, feature engineering, model building and model evaluation.
- Cloud and Containerization: Knowledge of cloud platforms and familiarity with containerization technologies, such as Docker.
- Software Development Practices: Familiarity with software development practices, version control, and agile methodologies.
- Distributed Computing: Familiarity with distributed inmemory computing technologies.
Good to Have:
- Experience with Big Data and analytics using technologies like Hadoop, Spark, etc.
- Proficient in Spark, familiar with deep learning frameworks like TensorFlow, PyTorch, etc
- Additional experience or knowledge in AI/ML technologies beyond the mentioned frameworks.
- Enhanced expertise in SQL.
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